How to replace dataframe text column with only the 1st occuring word / words before a comma

The dataframe for the problem statement looks like

I want the dataframe search_text to be stripped and replaced on the 1st word before comma.(I dont want to manually map it and replace). So it would look like.

Is there any convenient way to do that?

Extract the first alphanumerics in the string

df['search_text'] = df['search_text'].str.extract('(^\w+)')



   Name  UID search_text
0    B   14          kj
1    S    2         hsa
2    D   10          sa
3    E   99         pid
4    G    8          dd

Use Series.str.split

df['search_text'] = df['search_text'].str.split(',').str[0]
print(df)

  Name  UID search_text
0    B   14          kj
1    S    2         hsa
2    D   10          sa
3    E   99         pid
4    G    8          dd